Experiments where we fit parameters of the model to the post-adaptation data to investigate whether the model can learn these parameters and what they would look like.

Fit 1: Fitting of Thetas and individual costs

In this model, the parameters guiding the distributions over thresholds as well as the costs can vary. There is a separate cost term for each utterance.

Norming data:

Inferred thresholds:

Model fit for norming data:

Main study data:

Inferred thresholds:

Model fit for the main study:

Fit 2: Fitting of Thetas and individual costs + fixed rat-alpha

In this model, the parameters guiding the distributions over thresholds as well as the costs can vary.

Norming data:

Inferred thresholds:

Model fit for norming data:

Main study data:

Inferred thresholds:

Model fit for the main data:

Fit 3: Fitting of Thetas and individual costs + fixed cost of might and probably

In this model, the parameters guiding the distributions over thresholds as well as the costs can vary. There is a separate cost term for each utterance. The cost of might and probably is fixed and set to 1.

Main study data:

Inferred thresholds:

Model fit for the main data:

Fit 4. Simplified model with cost fixed:

Inferred thresholds:

Model fit for the main data:

Fit 5: Simplified model with fixed theta vals

Inferred thresholds:

Model fit for the main data: